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Posted to common-issues@hadoop.apache.org by "Mehakmeet Singh (Jira)" <ji...@apache.org> on 2021/02/18 05:42:00 UTC
[jira] [Commented] (HADOOP-17195) Intermittent OutOfMemory error
while performing hdfs CopyFromLocal to abfs
[ https://issues.apache.org/jira/browse/HADOOP-17195?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17286287#comment-17286287 ]
Mehakmeet Singh commented on HADOOP-17195:
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[~snvijaya], [~bilahari.th], hey, just wanted to catch up on this, is this issue fixed? I see we have an interim-fix(HADOOP-17166) that uses configs for the ThreadPool, but any updates on the long-term fix? If it is already-up can you link that Jira to this one?
> Intermittent OutOfMemory error while performing hdfs CopyFromLocal to abfs
> ---------------------------------------------------------------------------
>
> Key: HADOOP-17195
> URL: https://issues.apache.org/jira/browse/HADOOP-17195
> Project: Hadoop Common
> Issue Type: Bug
> Components: fs/azure
> Affects Versions: 3.3.0
> Reporter: Mehakmeet Singh
> Assignee: Bilahari T H
> Priority: Major
> Labels: abfsactive, pull-request-available
> Time Spent: 50m
> Remaining Estimate: 0h
>
> OutOfMemory error due to new ThreadPools being made each time AbfsOutputStream is created. Since threadPool aren't limited a lot of data is loaded in buffer and thus it causes OutOfMemory error.
> Possible fixes:
> - Limit the number of ThreadCounts while performing hdfs copyFromLocal (Using -t property).
> - Reducing OUTPUT_BUFFER_SIZE significantly which would limit the amount of buffer to be loaded in threads.
> - Don't create new ThreadPools each time AbfsOutputStream is created and limit the number of ThreadPools each AbfsOutputStream could create.
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